3D millimeter-Wave Indoor Localization

Sesyuk, Andrey, Ioannou, Stelios orcid iconORCID: 0000-0002-8162-8953 and Raspopoulos, Marios orcid iconORCID: 0000-0003-1513-6018 (2023) 3D millimeter-Wave Indoor Localization. In: 2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 25-28 September 2023, Nuremberg.

[thumbnail of AAM]
Preview
PDF (AAM) - Accepted Version
Available under License Creative Commons Attribution.

914kB

Official URL: https://doi.org/10.1109/IPIN57070.2023.10332537

Abstract

The 3D nature of modern smart applications has imposed significant 3D positioning accuracy requirements, especially in indoor environments. However, a major limitation of most existing indoor localization systems is their focus on estimating positions mainly in the horizontal plane, overlooking the crucial vertical dimension. This neglect presents considerable challenges in accurately determining the 3D position of devices such as drones and individuals across multiple floors of a building let alone the cm-level accuracy that might be required in many of these applications. To tackle this issue, millimeter-wave (mmWave) positioning systems have emerged as a promising technology offering high accuracy and robustness even in complex indoor environments. This paper aims to leverage the potential of mmWave technology to achieve precise ranging and angling measurements presenting a comprehensive methodology for evaluating the performance of mmWave sensors in terms of measurement precision while demonstrating the 3D positioning accuracy that can be achieved. The main challenges and the respective solutions associated with the use of mmWave sensors for indoor positioning are highlighted, providing valuable insights into their potential and suitability for practical applications.


Repository Staff Only: item control page